Come join a team of GPU software engineers dedicated to making Intel Graphics successful in data centers, as well as edge and mobile segments of market. We write and optimize full GPU implementation of deep learning workloads and do a lot of performance analysis and investigations to unleash full potential of future Intel GPU architectures.Your responsibilities will include all stages and areas of software development:
� Deep learning topology performance research and performance modeling
� Source code development, review and maintenance in C++ and Python, both for pre-silicon and post-silicon hardware
� Machine learning workloads performance analysis and hardware features validation
� Performance optimization of GPU software components
� Mentoring and overseeing the work of junior colleagues
� Leading a small team or playing a key role in planning and implementation of workloadsWhy Intel?
� Competitive pay, bonuses and benefits
� Flexible working hours and hybrid home-office working schedule
� Relocation support
� Opportunities to transform technology and create a better future, by delivering products that touch the lives of every person on earth
� Collaborative environment allowing the brightest minds in the world to come together to achieve exceptional results with great team atmosphere
� Opportunities for professional development and growth - including tech trainings, learning platforms and possibility to shape future hardware architectures

Qualifications

You should consider applying if you:
� Have parallel programming experience
� Understand deep learning primitives and basics of linear algebra
� Enjoy problems that can't be solved by searching StackOverflow
� Work well in a team and across teamsYou will enjoy this position even more if you have:
� System-level language programming experience: C, C++, others
� GPU programming experience: DPC++/OpenCL/CUDA/ROCm/C for Metal, etc.
� SIMD programming experience: SSE/AVX/Neon, etc.
� Assembly reading or writing experience: x86-64/ARM, etc.
� Experience with a deep learning framework: TensorFlow/Caffe/PyTorch/MXNet, etc.
� Experience profiling, benchmarking and optimizing implementation of a predefined problem

At Intel inclusion means we recognize and respect the worth and dignity of every employee.  We promote and sustain a sense of belonging, valuing diverse talents, beliefs, backgrounds, and experiences to help Intel win. Our success depends on Intel’s amazing employees. Make Intel your workplace of choice today. Intel provides equal employment opportunity for all applicants and employees in all areas of employment.

Intel does not discriminate based on race, characteristics that are commonly or historically associated with race including hair, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Inside this Business Group

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.